Title of article :
In silico Analysis of Immunologic Regions of Surface Antigens (Sags) of Toxoplasma gondii
Author/Authors :
Alibakhshi, Abbas Department of Biotechnology, School of Advanced Technologies in Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Bandehpour, Mojgan Department of Biotechnology, School of Advanced Technologies in Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Nafarieh, Tina Department of Biotechnology, School of Advanced Technologies in Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Gheflat, Shivasadat Department of Biotechnology, School of Advanced Technologies in Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Kazemi, Bahram Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran
Pages :
10
From page :
109
To page :
118
Abstract :
Background: Surface antigens (SAGs) of Toxoplasma gondii are known candidates for diagnostic tests and vaccines. The present study argues about the main necessary properties for determination and prediction of T-cell agretopes and B-cell epitopes of surface antigens of Toxoplasma gondii. Materials and Methods: Primary, secondary and tertiary structures of the proteins were analyzed by different methods. The three-dimensional structures were determined by use of ab initio method for prediction of discontinues epitopes. The agretopes and epitopes were predicted via several various web servers with different methods employed. Results: The results of in silico analyses showed that the regions 129-GAPAGRNNDGSSAPT-143 for protein p22, 234-SENPWQGNASSD-245 for protein p30 and 348-PGTEGESQAGT-358 for protein p43, have the highest immunogenic potential. Conclusion: We reached to three antigenic epitopes for cloning and protein expression. In following the purified polypeptide will be applied for diagnosis of Toxoplasma gondii
Keywords :
Epitope , Agretope , SAG , Toxoplasma gondii , In silico
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2447134
Link To Document :
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